Results 201 to 210 of about 101,615 (282)
ABSTRACT Aims To describe the occurrence, extent and severity of furcation involvement (FI) in molars and to evaluate the risk indicators associated with FI. Material and Methods This cross‐sectional study is nested within a representative sample of individuals living in a rural area.
Flávia Letícia Bueno Menk +5 more
wiley +1 more source
Tooth Detection and Numbering Performance of Two AI-Based Systems on Panoramic Radiographs: A Comparative Study. [PDF]
ElKhateeb SM +5 more
europepmc +1 more source
ABSTRACT Background Computer vision methods based on artificial intelligence (AI) have found numerous applications in endodontic diagnosis and treatment planning. While most current applications employ discriminative deep learning models for detection and classification tasks, the field is now witnessing the rise of generative AI (GenAI), a class of AI
Hossein Mohammad‐Rahimi +6 more
wiley +1 more source
CBCT-based submandibular fossa depth classification and panoramic fractal dimension analysis in the posterior mandible. [PDF]
Ocak A, Akyüz M.
europepmc +1 more source
Olaparib‐associated cutaneous vasculitis in a patient with breast cancer
JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Marcial Álvarez‐Salafranca +3 more
wiley +1 more source
ABSTRACT Background Panoramic radiographs are used routinely to screen dental conditions and treatment patterns. Recently, numerous studies have suggested that deep learning (DL) models can be utilized for analysing panoramic radiographs. Objective This review aimed to evaluate the accuracy of DL models in detecting periapical radiolucent lesions (PRLs)
Ibrahim Ali Ahmad +3 more
wiley +1 more source
SBRF-Det: Scale-Boundary Representative Fusion for Multi-Finding Detection in Panoramic Dental Radiographs. [PDF]
Karatas F +6 more
europepmc +1 more source
ABSTRACT Background Accurate assessment of caries depth on intraoral radiographs is crucial for determining the extent of the lesion and planning appropriate treatment. Artificial intelligence (AI) models have been increasingly used for detecting and classifying carious lesions; however, the evidence focusing specifically on the classification of ...
Laith Abu Qdais +5 more
wiley +1 more source
Deep learning-enhanced detection of dental restorations and orthodontic appliances in panoramic radiographs using a clinically annotated dataset. [PDF]
Xiao LC +4 more
europepmc +1 more source
Radiographic Prevalence of Condensing Osteitis: A Systematic Review and Meta‐Analysis
ABSTRACT Background Condensing osteitis is a radiopaque periapical condition associated with chronic low‐grade inflammatory stimuli of endodontic origin. Despite being frequently observed in dental practice, its reported prevalence varies considerably due to methodological and diagnostic inconsistencies across studies. Objectives This systematic review
Juan J. Segura‐Egea +5 more
wiley +1 more source

